Senior ML Engineer: AutoResearch & Scalable ML

Tech Ladies®; Sunnyvale (CA); On-site; USD 143,000 - 286,000; Full time

Benefits offered by this job

Performance bonuses

Stock options

Health benefits

Paid time off

Job summary

Walmart in Sunnyvale seeks a Senior Machine Learning Engineer to lead scalable ML solutions, focusing on auto-research and automated training optimization to accelerate the ML lifecycle. Collaborate across teams to deliver production‑ready models and data pipelines with governance in mind.

You will mentor peers, drive continuous improvement, and ensure reliability through robust ML services and secure pipelines in an enterprise setting.

Qualifications

• Bachelor's degree in CS, CE, or related field with software/ML background.
• 5+ years in software or ML engineering per preferred quals.
• Experience with scalable ML systems and governance standards.

Responsibilities

• Collaborate with engineers and data scientists to deliver ML features and models.
• Design auto-research capabilities for automated training and evaluation.
• Surface top models with minimal manual intervention for speed.
• Build and support ML services, APIs, and data pipelines.
• Apply MLOps including CI/CD, versioning, and retraining.
• Monitor and maintain models to address drift and performance.
• Ensure secure, compliant ML engineering per governance standards.

Skills

TensorFlow

PyTorch

Scikit-learn

Python

SQL

Java

C++

Autonomous research systems

AutoResearch loops

MLOps

Model evaluation & monitoring

Education

Bachelor's degree in computer science / related field

Master's degree preferred

Tools

CI/CD tooling

Model versioning

Telemetry

Git

Job description

Walmart in Sunnyvale seeks a Senior Machine Learning Engineer to lead scalable ML solutions, focusing on auto-research and automated training optimization to accelerate the ML lifecycle. Collaborate across teams to deliver production‑ready models and data pipelines with governance in mind.

You will mentor peers, drive continuous improvement, and ensure reliability through robust ML services and secure pipelines in an enterprise setting.